The release of pyspark package 3.2.0 is now available. 🥳 Apache Spark Python API #sql #java #jdbc #scala #spark #python #pyspark #bigdata #programming

The release of pyspark package 3.2.0 is now available. 🥳Apache Spark Python APIgithub.com/apache/spark #r #sql #java #jdbc #scala #spark #python #pyspark #bigdata #programming- PyPackages (@pypackages)01:53 - Oct 18, 2021
How Time Series Databases Work, and Where They Don’t

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I've written a DSL (kotlin) to transform JSON objects from one format to another

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Presentation: Panel: Event Driven Architectures of Scale

Wes Reisz, Matthew Clark, Gwen Shapira, and Ian Thomas discuss the evolution of event-driven architectures over the decades, the advantages that EDA offers, and thoughts for the future. By
Wes Reisz, Matthew Clark, Gwen Shapira, Ian Thomas
Python 3.10 — Five New Features And Considerations | by Christopher Tao | Oct, 2021 | Towards Data Science

Image by Joshua Woroniecki from PixabayPython 3.10 — Five New Features And ConsiderationsNot only listing but also the examples and considerations.A few days ago, Python 3.10 has released eventually. There are already many articles online that were even published before it was released. However, I found most of those are just listing the new features without too much discussion. Therefore, in my article,...
Stage level scheduling

The idea of writing this blog post came to me when I was analyzing Kubernetes changes in Apache Spark 3.1.1. Starting from this version we can use stage level scheduling, so far available only for YARN. Even though it's probably a very low level feature, it intrigued me enough to write a few words here!